Late Collections Strategy Analyst II

Home Credit

Quezon City

On-site

PHP 480,000 - 720,000

Full time

3 days ago
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Benefits offered by this job

Up to 20% bonus
HMO on Day 1 / with dependents
Mental health coverage
Wellness Leave
Internal Career Mobility

Job summary

Home Credit Philippines is seeking a Late Collections Analyst II to support analytics-driven improvements in collections. You will extract and analyse data, design automation, and run pilot tests to refine strategies.

The role emphasizes data-driven decision making and collaboration with the analytics team. The position requires 1+ year in analytics, a relevant degree, and proficiency with SQL, Python, R, and BI tools.

Qualifications

  • Bachelor’s degree in Economics, Finance, Statistics, Mathematics, Computer Science, Physics or related field.
  • 1 year+ of professional experience in database systems and analytics.
  • Business acumen for early collections and call center management.

Responsibilities

  • Meet with late collections analytics manager to deliver key results.
  • Extract and analyse information from databases.
  • Create tools and strategy changes to automate/improve collections processes.
  • Generate strategy changes and run pilot testing from design to implementation.
  • Manage database environment, jobs and procedures.
  • Monitor collections performance and explain source/impact of issues.
  • Provide reports and business analysis and insights.

Skills

SQL
Python
R
Power BI
Tableau
MS Office
Hypothesis testing
Communication

Education

Bachelor’s degree in Economics/Finance/Statistics/Math/CS/Physics

Tools

Oracle SQL

Job description

Home Credit Philippines is seeking a Late Collections Analyst II to support analytics-driven improvements in collections. You will extract and analyse data, design automation, and run pilot tests to refine strategies.

The role emphasizes data-driven decision making and collaboration with the analytics team. The position requires 1+ year in analytics, a relevant degree, and proficiency with SQL, Python, R, and BI tools.

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